• Offered by Research School of Computer Science
  • ANU College ANU College of Engineering and Computer Science
  • Classification Advanced
  • Course subject Computer Science

Massive amounts of data are being collected by public and private organisations, and research projects, while the Internet provides a very large source of information about almost every aspect of human life and society. Analysing such data can provide significant benefits to an organisation. This course provides a practical focus on the technology and research in the area of data mining. It focuses on the algorithms and techniques and less on the mathematical and statistical foundations.

Learning Outcomes

Upon successful completion, students will have the knowledge and skills to:

Upon successful completion of this course, students will:

  1. Critically analyse and justify the steps involved in the data mining process,

  2. Anticipate and identify data issues related to data mining,

  3. Research, test and apply the principal algorithms and techniques used in data mining,

  4. Justify suitable techniques to use for a given data mining problem,

  5. Appraise and reflect upon the results of a data mining project using suitable measurements,

  6. Investigate application areas and current research directions of data mining,

  7. Reflect upon ethical and social impacts of data mining.

Other Information

If you believe you meet the pre-requisites for this course through alternative means, please contact dataanalytics.cecs@anu.edu.au to apply for an exemption.

Indicative Assessment

Written and practical assignments (40%)  - LO 1 to 7

Regular quizzes (5%) – LO 1 to 7

Mid-course Lab exam (20%) – LO 1 to 7

Final examination (35%) - LO 1 to 7

The ANU uses Turnitin to enhance student citation and referencing techniques, and to assess assignment submissions as a component of the University's approach to managing Academic Integrity. While the use of Turnitin is not mandatory, the ANU highly recommends Turnitin is used by both teaching staff and students. For additional information regarding Turnitin please visit the ANU Online website.

Requisite and Incompatibility

To enrol in this course you must have successfully completed COMP7240 or COMP6240 or COMP2400. You are not able to enrol in this course if you have previously completed COMP3420, COMP3425 and COMP8400.


Tuition fees are for the academic year indicated at the top of the page.  

If you are a domestic graduate coursework or international student you will be required to pay tuition fees. Tuition fees are indexed annually. Further information for domestic and international students about tuition and other fees can be found at Fees.

Student Contribution Band:
Unit value:
6 units

If you are an undergraduate student and have been offered a Commonwealth supported place, your fees are set by the Australian Government for each course. At ANU 1 EFTSL is 48 units (normally 8 x 6-unit courses). You can find your student contribution amount for each course at Fees.  Where there is a unit range displayed for this course, not all unit options below may be available.

6.00 0.12500
Domestic fee paying students
Year Fee
2017 $3660
International fee paying students
Year Fee
2017 $4878
Note: Please note that fee information is for current year only.

Offerings, Dates and Class Summary Links

ANU utilises MyTimetable to enable students to view the timetable for their enrolled courses, browse, then self-allocate to small teaching activities / tutorials so they can better plan their time. Find out more on the Timetable webpage.

The list of offerings for future years is indicative only.
Class summaries, if available, can be accessed by clicking on the View link for the relevant class number.

Autumn Session

Class number Class start date Last day to enrol Census date Class end date Mode Of Delivery Class Summary
intensive course
5689 29 May 2017 02 Jun 2017 16 Jun 2017 28 Jul 2017 In Person N/A

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